easy-ui-mcp — agentic threat model
easy-ui-mcp presents a high agentic risk due to its ability to perform arbitrary browser automation (Playwright) and capture screenshots without built-in sandboxing or data-redaction guardrails, making it a prime target for SSRF and sensitive data exfiltration.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.60 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.30 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — the agent itself does not bundle an LLM, but relies on external LLMs driving it via MCP, making it susceptible to indirect prompt injection and adversarial manipulation of the driving model.
Processes live browser data, DOM structures, and captures screenshots. This introduces a high risk of sensitive data exposure (PII, credentials, session tokens) being captured in reports and exfiltrated.
As an MCP tool, it is highly vulnerable to tool misuse. If the orchestrating agent is compromised or tricked, this tool can be used to navigate to malicious sites, perform unauthorized actions, or scan internal networks.
Not certain from the listing — how the Playwright instance is sandboxed or hosted is not specified. Unsandboxed execution poses severe risks of local network access (SSRF), local file access via file:// protocols, or host compromise.
Provides visual reports and screenshots which serve as execution logs, but lacks built-in guardrails to redact sensitive data, mask passwords, or detect anomalous navigation paths.
No built-in authentication, authorization, or data loss prevention (DLP) policies are mentioned to restrict URL access, limit domain scopes, or mask sensitive data in screenshots.
Designed specifically for multi-agent or agent-to-tool ecosystem integration via MCP, creating risks of cascading failures or unauthorized tool execution if an upstream agent is compromised.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).